Developer - Enterprise Integration

About the job

Integration Developer (3–6 Years)   Role Summary   A highly experienced, hands-on Senior Integration Developer responsible for designing and delivering complex, enterprise-grade integration solutions. Drives advanced development, owns Low-Level Design (LLDs), and ensures high-quality, CI/CD-driven delivery using Azure Integration Services, while mentoring teams and contributing to architecture alignment.

Key Responsibilities   Core Development (Primary Focus)

- development of  complex, large-scale integration solutions  using  Azure Integration Services (Logic Apps, Azure Functions, Data Factory, Service Bus, Event Grid) .

- Build  high-performance, scalable, and production-ready solutions , handling complex enterprise integration scenarios.

- Develop  reusable frameworks, advanced integration patterns, and shared components  to accelerate delivery across programs.  API Development & APIM Governance

- Design and implement  enterprise-grade APIs  using  Azure API Management (APIM) .

- Configure  advanced APIM policies  including security, transformation, throttling, and routing.

- Ensure APIs meet  performance, security, and governance standards .  Low-Level Design & Technical Ownership

- Own and drive  Low-Level Design (LLDs)  for modules and critical components.

- Translate business and architectural requirements into  scalable, well-structured technical designs .

- Ensure strict adherence to  architecture standards, design principles, and best practices .  Azure DevOps & CI/CD (Key Responsibility)

- Design, implement, and optimize  CI/CD pipelines using Azure DevOps / GitHub Actions .

- Drive  end-to-end automation  of build, deployment, and release processes using  Infrastructure as Code (IaC) .

- Ensure  consistent, reliable, and high-quality releases  across environments.

- Improve  deployment efficiency, rollback strategies, and release governance .  Testing, Debugging & Production Support

- Lead  unit testing, integration testing, and validation strategies .

- Handle  complex debugging and root cause analysis  across APIs, events, and workflows.

- Provide strong support for  critical production issues and performance bottlenecks .  Monitoring, Reliability & Performance

- Implement and enhance  observability frameworks  using  Azure Monitor and Application Insights .

- Ensure solutions meet  SLAs for reliability, scalability, and performance .  AI & Copilot-Enabled Development

- Actively leverage  GitHub Copilot / M365 Copilot  for:

- Code acceleration and optimization

- LLD and API documentation generation

- Debugging and performance insights

- Apply  AI-assisted engineering practices  to improve productivity and delivery quality.

- Contribute to adoption of  AI-driven development practices within the team .  Technical Leadership & Mentoring

- Provide  hands-on technical leadership , guiding developers on design, coding, and best practices.

- Conduct  code reviews, design reviews, and quality checks .

- Mentor engineers and junior developers, building  strong technical capability across the team .  Collaboration in Complex Delivery Programs

- Work closely with  Leads, Architects, QA, DevOps, and business stakeholders .

- Drive alignment between  design, development, and delivery timelines .

- Actively contribute to  high-velocity, agile delivery environments .

Required Skills

- Experience:  3–6 years with strong focus on  hands-on integration development in complex delivery environments .

- Azure Integration:  Deep expertise in  Azure Integration Services (AIS) .

- API Development:  Advanced experience with  Azure API Management (APIM) .

- Programming:  Strong coding expertise in  C#, .NET, REST APIs, JSON, XML .

- Design Skills:  Proven experience in owning  LLDs and contributing to HLDs .

- Integration Patterns:  Strong knowledge of  event-driven, distributed, and microservices-based architectures .

- Azure CI/CD:  Hands-on expertise in  designing and managing CI/CD pipelines using Azure DevOps / GitHub Actions .

- Debugging & Performance:  Advanced troubleshooting and optimization skills.

- AI & Copilot Skills:

- Active and effective use of  GitHub Copilot / M365 Copilot

- Practical understanding of  AI-assisted development workflows

Preferred Skills

- Experience with  MuleSoft (architecture, migrations, or coexistence) .

- Exposure to  AI/ML integration use cases and intelligent automation .

- Knowledge of  enterprise security, API governance, and compliance frameworks .